Big Data Should Be Regulated

I recall the days when I was first advertised by big data. I asked my dad: ‘How do they know what I want to buy? I was shocked and I enjoyed the feeling of being advertised. As I grow up, hardly can I remember when being bored with this. Advertising emails overwhelming inbox，I learned how to automatically ignore nearby product recommendations in the middle of social information or in the inbox. I am a sample of big data. I was analyzed as big data by the merchant.

Too much big data analysis makes me more concern about my private information. Am my information being open and transparent to merchants？It’s like a hide and seek game, I know you, but you don’t know me.

New Year’s Gala hold on 6 Feb is the Chinese traditional festival event for celebrating Lunar New Year. Baidu and CCTV reached a 2019 New Year’s Gala Red Envelop Cooperation, announcing an APP installation of 700 million seems like great cooperation between Electronic Business with Traditional event.

On the surface, a nationwide event with a huge amount of audience scan QR code will have the chance win money to your account, but what it doesn’t say is each APP installation will earn you only 1yuan in maximum (that is 0.15 dollar), and there is 7 APP waiting to be installed. I can’t help asking myself，How much is my personal information worth? Less than a quarter? Baidu software is been mocked as Baidu family bucket because it often uses user equipment such as bundled installation, it will force the installation of all products without the user’s consent.

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With all the footprint I leave in their product, they will analytes my preferences with just a little cost.

Let alone Baidu bidding ranking event only shows useless and capitalized recommendation. I suppose the opponents will say you have agreed on User Privacy Protocol, I wonder who will read every clause with 50 pages. User Privacy Protocol should not only ask for Privacy but also Big Data Analysis approval. Price discrimination is a common situation in big data analysis. by mastering the data of a large number of regular customers, we can use the algorithm to calculate the price sensitivity and acceptance of consumers, the dependence of consumption on the basis of the collected data, measure their spending power, willingness to pay, calculate their “price ceiling”, and thus give Higher pricing; for new customers, in the absence of sufficient data, businesses are not able to price discrimination. 51.3% of respondents have encountered Internet companies using big data to make more money from them. I pay more delivery fee because I need to speed up or bad weather, I chose to pay this fee subjectively.

But those high-cost delivery fees I was charged more without the right to know, based on the big data analysis that I am a regular customer or I live in prosperous areas is unacceptable. Living in prosperous areas have big chance to be high purchase power seems perfectly logical and reasonable, but as a customer, I am more willing to authorize this analyze data to be used to offer me a better product, not high charge. Big Data Analysis is a tool to make people live a better life, not price discrimination. Big data is easy to make more money, but it’s harder to re-fix users’ trust. I believe that smart businesses how to use it wisely, instead of taking advantage of short-sighted cleverness to trample on user trust.